Staff ML Engineer - Marketplace Optimization (Sunnyvale)

Uber; Sunnyvale (CA); On-site; USD 232,000 - 258,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Job summary

Uber is seeking a Staff Machine Learning Engineer for the Uber Freight marketplace in Sunnyvale, CA. You will own end-to-end machine learning models for predictive modeling and marketplace optimization, collaborating with backend engineers to productionize models and maintain performance.

Responsibilities include developing ML solutions for cost prediction, booking probability, and demand elasticity, and maintaining ownership across the model lifecycle in production environments.

Qualifications

• 6+ years of experience developing ML models to solve business problems.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• Familiarity with modern AI/ML frameworks, e.g., PyTorch.

Responsibilities

• Provide end-to-end ownership of ML models for the Uber Freight marketplace, including cost prediction, booking probability, and demand elasticity.
• Partner with backend engineers to implement models in production and verify deployed systems behave as expected.

Skills

Experience with ML modeling

Machine learning

Education

Bachelor’s degree in Computer Science or related field

Tools

PyTorch

Job description

Uber is seeking a Staff Machine Learning Engineer for the Uber Freight marketplace in Sunnyvale, CA. You will own end-to-end machine learning models for predictive modeling and marketplace optimization, collaborating with backend engineers to productionize models and maintain performance.

Responsibilities include developing ML solutions for cost prediction, booking probability, and demand elasticity, and maintaining ownership across the model lifecycle in production environments.